The DNNs are implemented with the pytorch framework [1]}. Preliminary experiments were done on the development set, in order to settle the network architecture and the following hyper-parameters.
Training is done on batches of 15 conversations using the Adam optimiser.
The learning rate is optimized at 0.001 by empirical method, tested on a range from 0.001 to 0.02 by a 0.005 step.
After preliminary experiments, networks were not improving after the first 400 epochs, so the total number of epochs is set to 500.
The Test set is evaluated using the networks which have the best scores on the Development set.
